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Correction to Water 2020, 12(5), 1307.
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Correction

Correction: Isaev et al. Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification. Water 2020, 12, 1307

1
Shirshov Institute of Oceanology, Russian Academy of Sciences, 117991 Moscow, Russia
2
Russian State Hydrometeorological University, 195196 St.-Petersburg, Russia
3
Baltic Nest Institute, Stockholm University Baltic Sea Centre, 10691 Stockholm, Sweden
*
Authors to whom correspondence should be addressed.
Water 2021, 13(11), 1466; https://doi.org/10.3390/w13111466
Submission received: 23 March 2021 / Accepted: 25 April 2021 / Published: 24 May 2021
(This article belongs to the Section Oceans and Coastal Zones)
Error in Figure 11
In the original article [1], there was a mistake in Figure 11 as published. Modelling result was calculated with the erroneous conversion C:N factor. The corrected Figure 11 appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.
Error in Table 3
In the original article [1], there were two mistakes in Table 3 as published. (1) Model mean and Std were calculated with the erroneous conversion C:N factor. (2) The order of columns (from left to right) was inconsistent. The corrected Table 3 appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.
Text Correction
There was an error in the original article [1]. On page 9, a wrong conversion C:N factor of 6.625 was used instead of the correct one of 5.7.
A correction has been made to 2. Materials and Methods, 2.4. Model performance, 9.
The capability of the model in simulating the biotic part of the ecosystem is demonstrated through a comparison with the measurements of phytoplankton primary production (PP) performed for years by the Russian State Hydrometeorological University in the Eastern Gulf of Finland. Measurements were carried out by the light–dark (or bulk) oxygen evolution method, which has been used for almost a century [44–46]. The method consists of the registration of changes in oxygen concentration using the high-precision Winkler method, with a 0.1% precision in oxygen determinations [47,48], following the 24 h incubation of natural communities in clear and dark bottles. The primary production is calculated as the sum of the rate of change in the oxygen concentration in clear bottles (equal to the primary production minus respiration) and that in dark bottles, i.e., the respiration. The measurements were conducted at a network of stations (Figure 2) from the end of July to the beginning of August. The selection of simulated values for comparison was conducted as follows. First, for every experimental estimate of PP, simulated values were compiled from a quadrate of 3 × 3 grid cells surrounding the station of measurements and for three days in a row, enveloping the time of measurements. Then, the simulated phytoplankton growth rates in nitrogen units, as well as the nitrogen fixation by cyanobacteria, were summed up and converted into carbon units, with a factor of 5.7. Finally, this dataset was averaged and used in a statistical model–data comparison for all the measurements in every simulated year. At the same time, we did not consider the routine chlorophyll observations as a good measure for comparison with the simulated phytoplankton biomass, expressed in nitrogen units, when such a comparison is conducted with quota coefficients that are fixed relative to carbon and chlorophyll [49,50]. A large intrinsic seasonal and interspecies variation in these quotas [51–53] makes this type of model–data comparison too uncertain and unconvincing [2].

Reference

  1. Isaev, A.; Vladimirova, O.; Eremina, T.; Ryabchenko, V.; Savchuk, O. Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification. Water 2020, 12, 1307. [Google Scholar] [CrossRef]
Figure 11. Statistical comparison of the primary production, simulated as the phytoplankton growth rate, including the nitrogen fixation, and measured by the bulk light–dark oxygen method at the end of July until the beginning of August in the Eastern Gulf of Finland.
Figure 11. Statistical comparison of the primary production, simulated as the phytoplankton growth rate, including the nitrogen fixation, and measured by the bulk light–dark oxygen method at the end of July until the beginning of August in the Eastern Gulf of Finland.
Water 13 01466 g001
Table 3. Comparison of the simulated primary production (g C m−2 day−1) with estimates obtained using the bulk light–dark oxygen method at the end of July until the beginning of August in the Eastern Gulf of Finland (positions of the stations with measurements are indicated in Figure 2).
Table 3. Comparison of the simulated primary production (g C m−2 day−1) with estimates obtained using the bulk light–dark oxygen method at the end of July until the beginning of August in the Eastern Gulf of Finland (positions of the stations with measurements are indicated in Figure 2).
Primary Production, g C m−2 day−1
ModelObservations
YearMeanStdMeanStdN
20090.390.290.550.2017
20100.410.310.430.1212
20110.690.520.470.0910
20120.270.210.530.159
20130.310.350.620.3712
20140.270.120.420.1115
Mean0.390.390.500.21
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MDPI and ACS Style

Isaev, A.; Vladimirova, O.; Eremina, T.; Ryabchenko, V.; Savchuk, O. Correction: Isaev et al. Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification. Water 2020, 12, 1307. Water 2021, 13, 1466. https://doi.org/10.3390/w13111466

AMA Style

Isaev A, Vladimirova O, Eremina T, Ryabchenko V, Savchuk O. Correction: Isaev et al. Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification. Water 2020, 12, 1307. Water. 2021; 13(11):1466. https://doi.org/10.3390/w13111466

Chicago/Turabian Style

Isaev, Alexey, Oksana Vladimirova, Tatjana Eremina, Vladimir Ryabchenko, and Oleg Savchuk. 2021. "Correction: Isaev et al. Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification. Water 2020, 12, 1307" Water 13, no. 11: 1466. https://doi.org/10.3390/w13111466

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